Email Marketing Executive

Job Title : Applied AI Engineer (AI/ML & LLM Deployment)

Experience : 4+ Years

Location : Remote

Job Summary :

We are looking for an Applied AI Engineer with strong expertise in Large Language Models (LLMs) to design, optimize, and deploy advanced AI solutions. The role focuses on LLM integration, fine-tuning, and performance optimization for scalable production use.

Mandatory Skills :

LLM Integration, Prompt Engineering, LangChain/LlamaIndex, Fine-tuning & LoRA, Model Quantization, Local Deployment, Tokenizers, Performance Optimization.

Key Responsibilities :

• Integrate GPT-4, Claude, and open-source LLMs into applications.
• Design and implement prompt engineering for context-specific, tone-appropriate outputs.
• Build AI pipelines using LangChain, LlamaIndex, or similar frameworks.
• Perform fine-tuning and LoRA (Low-Rank Adaptation) to customize models.
• Apply model quantization (GGML, GPTQ, bitsandbytes) for efficient deployment.
• Deploy models with Hugging Face Transformers, vLLM, llama.cpp.
• Optimize tokenization and inference performance for low latency.

Required Skills :

• Strong hands-on experience with LLMs (OpenAI GPT-4, Claude, open-source models).
• Proficiency in Prompt Engineering and tone-specific output design.
• Experience with LangChain, LlamaIndex, or other orchestration frameworks.
• Knowledge of fine-tuning, LoRA techniques, and quantization methods.
• Familiarity with deployment frameworks (Transformers, vLLM, llama.cpp).
• Strong understanding of tokenizers and efficient text preprocessing.
• Ability to optimize models for real-time, low-latency inference.
• Solid programming skills in Python and experience with PyTorch/TensorFlow.

Nice to Have :

• Exposure to MLOps tools (Docker, Kubernetes, CI/CD for AI).
• Experience with evaluation frameworks for LLMs.
• Knowledge of multi-modal models (text, vision, audio).

Job description:

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.

Job Title: Assistant Professor

Departments:

· S&H (Mathematics) - Assistant Professor

Qualification:

· B.sc, M.sc & Ph.D. / NET or SET preferred

Immediate Joiner preferred

Candidate Profile:

· Candidate should complete their PhD in the relevant discipline

· Candidate should have Good Communication Skills

· Commitment towards work

Interview Process: Interview and Technical round

Job Location:Saravanampatti, Coimbatore, Tamilnadu

Apply Mode: Email

Last Date: As soon as possible

How to Apply: Indicates may send their resume along with all necessary documents to the following Email address.

Job Type: Full-time

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person

Job Brief

• We are looking for a detail-oriented SEO Analyst to manage and optimize all search engine optimization initiatives. The role focuses on improving organic search visibility, driving qualified traffic, and enhancing website performance across major search engines.
• You will be responsible for executing SEO strategies including keyword research, content optimization, technical SEO, link building, and performance analysis. The ideal candidate will work closely with content, development, and marketing teams to ensure SEO best practices are consistently implemented.

Responsibilities : 

• Execute and optimize SEO strategies to improve organic rankings and search visibility
• Conduct SEO audits and analyze website performance to identify issues and opportunities
• Collect, track, and analyze organic search data, traffic trends, and keyword performance
• Optimize website content, metadata, internal linking, and landing pages for search engines
• Perform ongoing keyword research, discovery, expansion, and optimization
• Research and implement SEO recommendations based on search engine guidelines and algorithm updates
• Analyze competitor SEO strategies, content performance, and backlink profiles
• Develop and execute effective link-building and outreach strategies
• Collaborate with development teams to ensure SEO best practices are implemented in newly developed or updated code
• Work with content and editorial teams to drive SEO-focused content creation and optimization
• Recommend improvements to website architecture, URL structure, internal linking, and on-page elements
• Manage and optimize Google My Business (GMB) profiles, including local SEO optimization and regular posting
• Monitor and improve local search visibility and map listings
• Implement Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies to enhance visibility in AI-powered and conversational search results
• Requirements & Skills
• Proven experience in SEO or as an SEO Analyst
• Strong understanding of organic search principles and search engine algorithms
• Hands-on experience with SEO tools such as Google Search Console, Google Analytics, and keyword research tools
• Experience conducting technical SEO audits and on-page optimizations
• Working knowledge of HTML, CSS, and JavaScript and their impact on SEO
• Familiarity with backlink analysis and link-building best practices
• Understanding of content optimization and SEO-driven content strategy
• Knowledge of local SEO, including Google My Business optimization
• Awareness of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)
• Ability to analyze data, identify trends, and provide actionable insights
• Up-to-date knowledge of SEO trends, algorithm updates, and best practices
• Bachelor’s or Master’s degree in a quantitative, analytical, or test-driven field (preferred)

Position Title: Senior Software Developer

Freestone Infotech is a global IT solutions company providing innovative best-in-class turnkey solutions toenterprises worldwide. http://freestoneinfotech.com/

Experience: 5+ yrs

Core Experience:

• Experience in Core Java, J2EE, Spring/Spring Boot, Hibernate, Spring REST, Linux, JUnit, Maven, Design Patterns.

• Sound knowledge of RDBMS like MySQL/Postgres, including schema design.

• Proficient in general programming, logic, problem solving, data structures & algorithms

• Exposure to Linux environment.

Secondary Skills:

• Agile / Scrum Development Experience preferred.

• Comfortable working with a microservices architecture and familiarly with NoSql solutions.

• Experience in Test Driven Development. • Good analytical, grasping and problem-solving skills.

• Excellent written and verbal communication skills.

• Hands-on skills in configuration of popular build tools, like Maven and Gradle

• Good knowledge of testing frameworks such as JUnit.

• Good knowledge of coding standards, source code organization and packaging/deploying.

• Good knowledge of current and emerging technologies and trends.

Job Responsibilities:

• Design, Development and Delivery of Java based enterprise-grade applications.

• Ensure best practices, quality and consistency within various design and development phases.

• Develop, test, implement and maintain application software working with established processes.

Education and Experience: • Bachelor’s / master’s degree in computer science or information technology or related field.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

5-9 years of experience in SAP CAR- Local Candidate 

Position Responsibilities:

You will co-ordinate and take the role of a Support consultant and support applications in your area of responsibility i.e, Retail – SAP CAR

You will contribute to the success of the implementation by applying knowledge of

POS Interfaces with CAR

CAR Inbound and Outbound Interfaces

Promotion Management in CAR along with OPP

SLT Data Setup between CAR and ECC

UDF/DDF Engines in CAR

CAR RDS Setup

Position Requirements / Minimum qualifications:

BE/B.Tech or equivalent and above degree in Computer Science or a related field.

5-9 years of experience in SAP CAR

Good experience on supporting the SAP CAR landscape

Minimum 2 end-to-end implementation of SAP CAR

Exposure to POS DTA, Integration of CAR with different systems

Preferably experienced in S4 HANA Implementation.

• Chennai – L2 support – on shifts (morning and afternoon) 2 days a week from office
• Retail exp.
• SAP CAR
• POS DTA
• 3 integration layers – Idoc is mandatory
• Immediate
• 1 round of interview